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On study of kernel regression function polygons

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Publication:4512741
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DOI10.1080/10485250008832824zbMath0979.62022OpenAlexW1972415433MaRDI QIDQ4512741

Chih-Kang Chu, Wen-Shuenn Deng

Publication date: 6 February 2001

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485250008832824

zbMATH Keywords

local linear smootheroptimal kernelasymptotic integrated mean square errorkernel regression function estimatorkernel regression function polygon


Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)




Cites Work

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  • Nonparametric regression analysis of longitudinal data
  • Smoothing techniques. With implementation in S
  • Smoothing methods in statistics
  • Local linear regression smoothers and their minimax efficiencies
  • Miscellanea. The edge frequency polygon
  • Robust Locally Weighted Regression and Smoothing Scatterplots
  • Design-adaptive Nonparametric Regression
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